I recently learned that starting July 1st, Meta plans to directly charge us, the advertisers, for Europe’s digital services taxes. This change will add as much as 5% to our ad spend, which is quite a noticeable increase.
The numbers. The fees will align with each nation’s specific digital service tax rates, which means:
France, Italy, Spain: 3%
Austria, Turkey: 5%
UK: 2%
How it works in practice. Meta has informed us that if I run a $100 ad targeting Italy, it’ll cost $103, excluding any VAT. This directly affects my budget considerations.
The fine print. It’s important to note these fees are based on the ad’s target location, not where I, the advertiser, am based. Thus, even if I’m in the U.S., targeting users in France means I’ll adhere to their rate.
Why I care. This upcoming change will undeniably raise costs for my European campaigns starting July 1st. With no option to avoid it, I must prepare for increased CPM and CPA benchmarks, meaning my current budget won’t go as far, and my ROAS targets might need reevaluation.
Because these adjustments are based on delivery location, even non-European companies must take note. The reach of this change is broad.
The big picture for advertisers. Meta’s not alone; both Google and Amazon have similar strategies. It’s a significant shift that demands I, and others involved in European advertising, revisit our cost models to appropriately plan for these increased expenses.
The backdrop. Digital services taxes have long been contentious between Europe and Washington, adding a layer of geopolitical complexity to the already intricate compliance issues faced by global advertisers like myself.
Dig deeper. If you’re interested in more detailed information about how Meta is addressing Europe’s digital taxes, you can find additional insights in this Bloomberg article (subscription required).
I’ve been following the latest updates from OpenAI, and they recently made some significant changes to their privacy policy, especially with the introduction of ads in ChatGPT. These updates are designed to allow advertisers to run personalized ads while ensuring that our chats remain private and secure.
OpenAI shared these updates with ChatGPT users, detailing how ads will function within the platform and clarifying what data is accessible to advertisers. It’s a refreshing assurance that our personal interactions remain confidential.
Why this matters to me. Privacy is paramount, and OpenAI emphasizes that personal chats and histories remain shielded from advertisers. They utilize anonymized engagement signals for ad personalization, ensuring advertisers can target relevant users without accessing sensitive information.
This method allows advertisers to evaluate the performance of their ads within a privacy-first framework, fostering user trust.
Ads in ChatGPT For users like me on Free and Go plans, ads might start appearing, but if you opt for paid tiers like Plus, Pro, Enterprise, Business, and Education, you can enjoy an ad-free experience. OpenAI promises clear labeling and separation of ads from chatbot responses.
Importantly, the content generated by ChatGPT remains unbiased and unaffected by these advertisements.
How ad targeting is handled. OpenAI uses in-platform signals such as ad interactions to personalize ads, but advertisers do not get access to our conversations, chat histories, or personal information.
Advertisers receive only aggregated metrics like total views or clicks, ensuring our personal data stays protected.
Additional privacy updates A new feature allows for optional contact syncing, helping us connect with friends who also use OpenAI services. It’s up to us whether to enable this feature.
They also provided more transparency on data storage durations, processing methods, and user control options, helping us understand our data management better.
Safety and product enhancements. The update encompasses new safety tools and age prediction systems aimed at ensuring a safer environment for teenagers. Documentation for new features like Atlas, Sora 2, and parental controls for teen accounts has also been included.
The bottom line. With the expansion of advertising in ChatGPT, OpenAI is committed to maintaining strict boundaries concerning user privacy, offering advertisers valuable insights without infringing on personal conversations or data.
This update was first spotted by Paid Media expert Arpan Banerjee, who shared insights on LinkedIn. It’s a promising move towards privacy-centric advertising in AI-powered platforms.
I recently received thrilling news about Google Marketing Live 2026, which is officially scheduled for May 20. I’m eagerly anticipating the event where Google will unveil the latest enhancements in advertising, AI, and campaign automation.
In fact, I discovered the date through an email from the Accelerate with Google program. This communication not only confirmed the event date but also invited entries for the prestigious Google Ads Impact Awards.
You might be interested to know that the winners of these awards will be announced during the event, adding an extra layer of excitement.
Why it matters to me. As a user of Google Ads, I’m always on the edge of my seat for this annual event. It’s the moment Google reveals its groundbreaking innovations—new AI features, campaign types, and measurement tools that will hugely impact how I manage and optimize my campaigns.
Each year, the most pivotal updates in Google’s advertising strategies are first introduced at this event. It provides invaluable insights into the future of digital advertising.
The bigger picture. This year’s event aligns with Google I/O 2026 (May 19–20), which goes beyond just advertising. I/O covers the broader Google ecosystem including AI and Search technologies, which often guide the direction of advertising products.
What to watch for. I’m eagerly expecting announcements related to AI-driven advertising, automation, and enhanced performance metrics. It’s a must-watch for any marketer keen on staying ahead of Google’s ad strategy for the coming year.
First heard about it. The PPC News Feed by Hana Kobzová was where I initially got the scoop. It’s always exciting to find such vital information from reliable sources I trust.
I’ve been keeping an eye on the latest developments in AI advertising, and it’s time to prepare for something big: ChatGPT ads are on the horizon. As consumers shift towards shopping through AI prompts, ChatGPT could potentially rival search as a powerful demand-capture channel, leading to a redirection of ad budgets.
Recently, OpenAI began testing ads in ChatGPT for a limited group of U.S. users, clearly marking these placements as sponsored content. Based on the platform’s internal dynamics, it won’t be long before this feature becomes widely available.
As advertisers, we have a unique opportunity to tap into a fresh demand-capture channel. However, it’s crucial to approach this space with clear expectations and understanding.
For ChatGPT advertising to truly succeed, consumer behaviors will need to evolve. And even if they do, remember that ChatGPT won’t expand the market but rather, redistribute it.
Why ChatGPT is Embracing Ads
It’s no shock that ChatGPT is moving towards advertising. Running an LLM query is estimated to be ten times the cost of a simple search query. With users generating 2.5 billion prompts daily, expenses pile up swiftly.
The core difference here isn’t just a model shift; it’s the data landscape. Over the years, users have fed personal information into ChatGPT, giving it insights unmatched by traditional advertising tools. The burning question is how ChatGPT will use this data to target its users effectively.
Advertisements have traditionally relied on repetition to generate demand, whereas search meets buyers with intent. ChatGPT might forge a similar path, equipped with more user context.
Imagine this: asking which security camera works with a certain system and receiving an informed answer and purchase link because the platform already knows about your existing setup.
Should this happen, ChatGPT could be the first new demand-capture channel since Google’s PPC ads launched two decades ago. Yet, obstacles remain.
Today’s AI queries largely lack buying intent, serving more informational needs. When buying happens, the conversion tracking might fall short due to users completing purchases on platforms like Amazon or Google after doing their research on ChatGPT.
Don’t be discouraged; such challenges are surmountable. Google’s journey from a homework help tool to shopping powerhouse wasn’t overnight. Likewise, ChatGPT will need time to educate consumers about shopping through AI.
While a brand-new demand-capture platform is exciting, have realistic expectations about its potential.
Market Share Reality Check
Despite the capabilities of AI, it won’t expand the advertising marketplace. ChatGPT ads won’t magically bring a wave of new consumers.
Instead, it will capture pieces of the existing market shared by Google, Meta, and Amazon. It’s more about shifting budgets rather than expanding them.
Competition will be fierce, particularly with Google’s AI platform, Gemini, presenting a formidable challenge. Market consolidation seems inevitable as AI races towards profitability.
The Differentiator: Hyper-Personalization
AI’s true edge might be in hyper-personalization. With their vast knowledge of user preferences, these platforms can deliver perfectly tailored recommendations.
This feature could make AI incomparable, offering personalized results seamlessly. However, this comes with risk, as hyper-personalization might feel invasive to some users.
If AI can maintain trust and avoid crossing privacy boundaries, its personalized convenience will likely be favored by most.
Steps to Take Now
While widespread ChatGPT advertising is still on the horizon, preparation is key. Here’s how to get ahead:
Align on Measurement: Consider research-heavy metrics and assisted conversions.
Optimize Mobile UX: Ensure a smooth, fast purchasing experience to avoid loss in demand capture.
Plan Early Tests: Testing carries risks but can provide an early competitive edge.
Being strategic now will set the stage for success when ChatGPT advertising becomes fully operational.
As someone passionate about video advertising, I’ve noticed how easily videos can now be distributed across platforms like YouTube, paid social media, and connected TV. It’s an immense opportunity for exposure.
However, I often find myself questioning the real effectiveness of these videos. Campaigns sometimes show impressive metrics, but lack in tangible business impact due to strategic missteps.
The issue isn’t so much about targeting or budget; it’s about focusing more on outputs—views, impressions—rather than crucial outcomes like attention and persuasion. That’s where most video strategies falter.
Misunderstanding Attention: A Common Pitfall in Video Ads
Many video ads operate under the assumption that they’re just like TV commercials, but that’s a misunderstanding of how attention works today.
In past meetings, we’ve defined success by views and impressions, not realizing these metrics don’t always translate to engagement or conversion.
True success lies in transforming impressions into meaningful actions, and that requires a drastic shift in strategy.
I’ve learned that the opening seconds of a video ad are critical. Initially, I assumed upfront branding mattered most, but ads that opened with engagement hooks performed better.
View-through rates don’t equate to persuasion. Real impact happens before the viewer can skip the ad.
An effective hook makes all the difference, whether it’s striking visuals or compelling questions. That initial grab of attention sets the stage for success.
Scrappy Ads Often Outperform Polished Productions
It’s surprising how often simple videos outperform higher quality productions. Authenticity resonates more with audiences than polished, overtly professional content.
Audiences and algorithms favor content that feels genuine over what looks like an ad. It’s about fitting in with the platform’s native content style.
Through experience, I’ve realized that the optimal length for an ad depends on the message itself. Sometimes a longer duration with a well-crafted story outperforms shorter clips.
A well-paced narrative keeps viewers engaged, making them more receptive to the brand’s message, regardless of duration.
Understanding Metrics: Decoding Signals, Not Outcomes
The abundance of data can be misleading, with metrics often misinterpreted as outcomes. I’ve seen campaigns with high completion rates fail to drive any business impact.
The true measure of success is how video metrics correlate with real-world actions and conversions.
Aligning Briefs with Creative Outcomes
A common issue is poorly defined briefs leading to lackluster creative. Clear objectives and a deep understanding of the target audience guide more effective video strategies.
Knowing precisely who you’re speaking to and what action you desire them to take results in more intentional and impactful creative.
Creative and Distribution: An Inseparable Duo
Strategically planning how and where ads are distributed is just as crucial as content creation. I’ve witnessed great ideas fall flat due to mismatched platform contexts.
Designing ads tailored for specific platforms ensures they resonate and are effective in their intended environment.
Insight-Driven Testing: Beyond Mere Variance Generation
Effective testing focuses on key elements that engage audiences. Hypothesis-driven testing yields insights far more valuable than superficial variant testing.
Ultimately, I’m looking for tools that prove reliable in predicting real-world outcomes, enhancing creative confidence well before any campaign goes live.
Despite evolving platforms and algorithms, I’m convinced that the core elements of attention, curiosity, and trust remain constantly human.
The most successful video ads I’ve been part of focused on relevance, respecting viewers’ time, and delivering valuable content. That’s what truly captivates audiences.
Success in video advertising comes from understanding people—not just appealing to platform metrics.
As someone deeply involved in PPC advertising, I often wonder about the authenticity of our ads in this era dominated by AI creativity. With AI now capable of generating endless ad variations, the ethical landscape has dramatically shifted.
PPC platforms today are hungry for assets. What used to be basic text ads and keyword bids has transformed into an AI-powered ecosystem. Tools in Google Ads can now remove backgrounds, create lifestyle scenes, and even generate synthetic humans within minutes. However, just because technology permits these capabilities doesn’t mean every brand should fully adopt them.
These advancements force us, as PPC advertisers, to confront some tough questions:
Do we compromise authenticity for the sake of efficiency?
What should be the extent of AI’s role in our brand’s operations?
Would our clients maintain trust in us if they were aware of how we use AI in our processes?
To navigate these decisions, a brand integrity hierarchy can be valuable. This four-level framework helps gauge how much AI manipulation your brand, industry, and audience can accept.
Why PPC Demands Its Own AI Ethics Framework
Current AI ethics guidelines don’t take into account the unique dynamics of paid search. PPC isn’t merely a brand storytelling channel; it’s a high-volume, fast-paced system requiring constant image production across various audiences, formats, and placements.
I face the challenge of creating fresh lifestyle images at a pace that traditional creative workflows simply can’t match. Simultaneously, platforms like Google and Bing enforce strict policies around accurate product representation, especially within Merchant Center, where even minor visual inaccuracies can lead to disapprovals or account risks.
The pressure from platforms is immense. Google Ads, for instance, has introduced tools like Nano Banana Pro, making Asset Studio an AI co-creation environment. While these tools are promoted as ways to enhance performance, they also push us toward using AI-generated backgrounds and lifestyle images.
Most brands can’t afford the necessary photoshoots to keep up with such demand, yet the constant need for images across channels is unavoidable if you want to remain competitive. This mix of policy risk, creative pressure, and platform-pushed tools is distinct to PPC, underscoring why the industry needs its own AI ethics framework.
From Video Partners to Search, fraud exposure is anything but uniform. Discover where invalid clicks tend to spike and how you can transition your efforts toward traffic with higher intent.
I’ve always considered Google Ads as the it-place for ad spending when stacked against social platforms. Yet, the sheer scale doesn’t make it bulletproof. Click fraud is a stubborn adversary, threatening the efficiency of our budgets based on ad placement.
Google Ads provide a vast reach, but not all campaigns face equal risks. Some are more vulnerable to malicious activities. To safeguard our margins, grasping what constitutes click fraud, its origins, and shielding our campaigns is essential.
What are invalid clicks?
Invalid clicks are false interactions lacking genuine consumer intent. They’re not driven by real human interest; thus, they skew performance data and drain budgets without potential for conversion. They mainly arise from these sources:
Botnets: Hijacked devices under a “botmaster” generate immense automated traffic mirroring human behavior to inflate metrics or initiate DDoS attacks.
Click farms: Low-paid workers or scripts manually clicking ads create a façade of engagement, misleading brands on campaign effectiveness.
Ad injection and malware: Malicious software injects unauthorized ads or forcibly redirects users, hijacking legitimate revenue and eroding trust.
Pixel stuffing and ad stacking: Ads served but unseen. Pixel stuffing compresses ads into invisible pixels; stacking layers ads in one slot, resulting in paid impressions without exposure.
Fraud Blocker recently determined the average invalid click rate across Google Ads at 11.4%, and it keeps growing.
To illustrate, in 2010, the rate was 5.9%, jumping to 12.3% by 2024. This doubling points to AI-powered bots and malware that skillfully bypass basic security.
Invalid click rates fluctuate depending on campaign setup, driven by:
Industry competition: High CPC fields like legal and insurance are prime targets for adversaries exhausting budgets through clicks.
Targeting parameters: Broader keywords or regions high in bot activity can flood “junk” traffic.
Refinement tools: Negative keywords and audience exclusions form a barrier against unwanted clicks.
Campaign hierarchy: Which are the biggest violators?
Risk levels vary significantly across Google Ads inventory. Here’s how different campaign types rank in exposure:
The biggest risk: Google Video Partners
Invalid traffic in Video Partners is notably high, extending beyond YouTube to third-party sites.
Many sites provide little control, resulting in views from bots or insignificant placements.
Display campaigns: Highly vulnerable
Display ads often face low-quality or AI-created sites.
Sometimes, over half the clicks on a site prove invalid.
Major publishers are more secure, but there’s variability in network risk.
Shopping and Demand Gen: The automation tax
Automation leads to clicks from price-tools and bots.
These clicks, although not always malicious, distort optimization data.
Performance Max: Hidden exposure
Spreads risk across Google’s ecosystem.
Identifying traffic sources is challenging, leading to unnoticed invalid clicks.
Search: The safest bet
Search campaigns are most secure.
Simulating genuine search behavior is difficult for bots.
Yet, even in safe realms, a 2% fraud rate can hurt financially, especially in high CPC arenas.
How to mitigate the risks
In helping clients across various industries, identifying fraud onset patterns tailored to sectors remains vital. Our approach is proactive. Shifting from broad settings to a focused, high-intent strategy is key.
Here’s a table highlighting patterns we monitor to curtail invalid click rates:
Factor
Higher risk (Aggressive)
Lower risk (Strict)
Location
Global or “Presence or Interest”
“Presence Only” (User is physically there)
Keywords
Broad match / Generic terms
Exact match / Long-tail phrases
Networks
Including “Search Partners” and “Display”
Google Search Network only
Exclusions
No negative keywords or placement lists
Robust negative lists and app exclusions
Scheduling
24/7 (Bots often spike at night)
Custom schedules aligned with business hours
To cut down fraud exposure effectively, here’s what we can do:
Audit placement data: Regularly review ad placements to exclude sites or apps with high click rate but low conversion.
Limit AI Max reliance: While automation offers power, a “set and forget” approach invites wasted spend. Maintain manual oversight.
Review refunds: Google may refund for detected fraud, but subtle cases can slip through. Compare internally logged data with Google’s to find inconsistencies.
Google is far from a monolith. Its vast ecosystem houses diverse environments where fraud risk varies immensely.
Focusing on quality traffic threats improves data integrity, optimization precision, and acquisition costs. In today’s market, the strategic campaign structure is vital to success.
Hey there! Meta has recently rolled out some exciting updates to their ad measurement framework, designed to simplify attribution in our ever-evolving “social-first” advertising landscape. I’m here to break it all down for you.
What’s new? Meta is redefining how click-through attributions work for both website and in-store conversions. From now on, only link clicks will contribute to click-through attribution, while other interactions like likes, shares, and saves won’t count. This shift aims to align Meta Ads Manager better with tools like Google Analytics, reducing discrepancies.
The shift in focus. WARC reports that social media has now overtaken search as the world’s largest ad channel. But many of our current attribution models were designed with search behavior in mind. Unlike in the past where every type of click was tallied, this update recognizes the unique engagement patterns on social platforms, historically leading to reporting misalignment.
What’s evolving? Conversions attributed to actions other than link clicks will now be categorized under a new term, “engage-through attribution,” which replaces the old “engaged-view attribution.” Additionally, Meta is shortening the video engaged-view window from 10 seconds to just 5 seconds. This change reflects faster conversion activity, especially noticeable in Reels, where 46% of purchase conversions happen within the first two seconds.
Why should we care? These updates provide clarity by distinguishing link-driven conversions from other social interactions. This distinction will help marketers better understand campaign performance, boosting confidence through more precise data analysis. The new engage-through attribution process highlights the impact of likes, saves, and shares.
With these changes, advertisers can trust their data more and make more informed, impactful decisions.
Collaborations in the pipeline. To offer advertisers a more comprehensive view of performance, Meta is collaborating with analytics providers like Northbeam and Triple Whale to integrate both clicks and views into their attribution models.
Rollout details. These changes are slated to begin later this month for campaigns focusing on website or in-store conversions. While billing methods remain unchanged, you might notice shifts in reporting as these new attribution definitions are implemented in Ads Manager.
The bottom line: Meta is striving to combine clearer click reporting similar to search engines with insightful data on social interactions. This balance offers advertisers a cleaner, broader comparison across platforms while focusing on the unique contributions of engagement-driven actions.
Google has a system to manage advertisement policy compliance known as the ‘three-strikes system.’ In my experience, your Google Ads account can face suspension after accumulating three policy violations within 90 days. Let me guide you through understanding this process and how you can maintain the smooth sailing of your campaigns.
Every year, Google suspends millions of accounts because of advertising policy violations. One misunderstood policy that often trips up advertisers like myself is Google’s three-strikes system.
In essence, if your account is caught repeatedly violating any of Google’s 15 specific advertising policies, it risks suspension. Understanding this system can help you ensure that a single mistake doesn’t lead to your account being shut down.
Over the years, I’ve assisted many advertisers in navigating Google’s policies. A recent case involved a business that sells ceremonial swords, which interestingly was flagged by Google’s ‘Other Weapons’ policy. Although ceremonial swords are allowed, the misinterpretation led to a warning, and later a strike.
Despite this misunderstanding, the journey taught me the importance of patience and persistence in appealing against wrongful strikes. Hard work paid off when the business could continue without any further policy issues, proving that even if strikes occur incorrectly, they can be resolved.
Successfully navigating Google’s three-strikes system begins with recognizing what each step involves. The first step is always a warning – a chance to rectify issues without penalties yet.
Once you receive a warning, take it seriously! Make sure to address and correct the violation immediately or appeal if you believe Google is mistaken.
If a violation is believed to persist, a first strike follows, temporarily pausing your ads for three days. Here, the choice is to acknowledge the strike and remove any violations, or appeal if you’re certain you’ve complied with policies.
The second strike sees ads paused for seven days, indicating another violation or unresolved first strike, leaving the same choices for action.
If a third strike occurs, your account faces suspension, and appeals become your sole recourse, though challenging and often uncertain.
Remember, even if you appeal successfully, Google might not reset the 90-day clock, so monitor it closely and take proactive steps to avoid potential infractions.
Keep your account strike-free by understanding the policies, addressing issues promptly, and adding disclaimers to your site to clarify compliance.
Ultimately, knowing Google’s policies inside out and being prepared to address any concerns quickly are crucial steps to ensure a healthy Google Ads account.
As an advertiser using Microsoft Advertising, I’m thrilled to share that we now have the freedom to create and manage negative keyword lists on our own! This long-awaited feature allows us to take greater control without needing to involve support tickets.
What’s happening? Now, we can directly build and handle shared negative keyword lists in the User Interface. These lists can hold up to 5,000 keywords, with one keyword per line, and can be applied at either the campaign or account level. The match types work just as they do in Performance Max and traditional Search campaigns.
Lists can be edited, exported as CSV files, or removed from campaigns whenever necessary.
Microsoft highlights the need for proper match type formatting using brackets for exact matches and quotation marks for phrase matches—not hyphens.
Why is this important to us? Negative keywords are vital for filtering out irrelevant traffic and protecting our budgets. This new self-serve capability streamlines our workflow, minimizes dependency on support tickets, and gives us faster control over search query exclusions.
The bottom line? Microsoft is handing more control back to us, eliminating friction in one of the most critical areas for improving campaign efficiency.
